Forward Deployed Consultant, Manufacturing

Miro provides a visual workspace for innovation that enables distributed teams to collaborate, design products, run workshops, and develop ideas on an infinite canvas. Its Innovation Workspace serves more than 100 million users and 250,000 companies.

• Partner with senior executives to define an AI transformation agenda
• Lead initial CxO conversations to demonstrate what AI can enable for the business
• Qualify opportunities before committing to a Validation Sprint, assessing sponsor authority, commitment, and potential for a multi-year, seven-figure relationship
• Co-author Sprint charters with Account Executives, defining the business problem, value, approach, exit criteria, and follow-on partnership proposal
• Run Validation Sprints end to end, developing and testing solutions on customers’ real data and systems
• Rebuild manufacturing processes using AI-first principles across new product development and gate review, quality and continuous improvement, portfolio and program management, operations and launch readiness, and process development and transformation
• Build with Miro’s AI Workflows, Prototypes, and Goals, Roadmaps & Delivery capabilities, extending them through API, WebSDK, and MCP integrations into ERP, PLM, MES, and quality systems
• Turn Sprint outcomes into business value stories, ROI models, and KPI baselines using customer metrics
• Support executive leaders in presenting Value Stories to sponsors
• Co-own Sprint conversion into partnership proposals and commercial approaches with Account Executives
• Define post-sale Professional Services involvement and manage the handover
• Package and share learnings internally with Sales, Marketing, and Product, and externally through thought leadership

• 8+ Years in top-tier consulting, forward deployed engineering, solution consulting, or enterprise transformation, with a focus on manufacturing and industrial environments
• Deep understanding of manufacturing processes, including NPI and stage-gate/APQP, engineering change management, quality systems (FMEA, 8D, PPAP), S&OP and production planning, lean and continuous improvement, maintenance, and reliability
• Fluency with industrial enterprise systems, including ERP (SAP or equivalent), PLM (Teamcenter, Windchill, 3DEXPERIENCE), MES, and quality management systems, and understanding of where their data resides
• Credibility with COO, Chief Supply Chain Officer, VP Operations, VP Quality, and Plant General Manager stakeholders
• Strong GenAI skills, including Miro, Cursor, Claude Code and Cowork, ChatGPT, Google and Microsoft suites, MCP integrations, prompt engineering, and context engineering
• Ability to build working solutions independently and orchestrate an AI Engineer when needed
• Ability to develop before-and-after value stories with financial and ROI analysis that withstands finance scrutiny
• Business-problem-first rather than product-first mindset, with curiosity to take processes apart
• Comfortable in both boardrooms and plants
• Self-starter who works independently and handles ambiguity
• Willing to travel to customer sites up to 40%

• Equity, a wellbeing benefit, a work-from-home equipment allowance, and an annual Learning & Development stipend are generally included in the global benefits package; benefits may vary by location
• Travel to customer sites up to 40%